Table 3. Negative binomial regression predicting use of consultations and prescriptions based on measures of physical activity.
IRRs for number of consultations | IRRs for number of prescriptions | |||
Model 1 | Model 2 | Model 1 | Model 2 | |
STEPS | p = 0.652 | p = 0.591 | p = 0.169 | p = 0.491 |
Low | 1.15 (0.83–1.32) | 1.08 (0.83–1.39) | 1.27 (0.97–1.66) | 1.18 (0.89–1.56) |
Medium | 0.95 (0.78–1.17) | 0.96 (0.78–1.17) | 1.06 (0.82–1.36) | 1.06 (0.82–1.36) |
High (ref) | 1.00 | 1.00 | 1.00 | 1.00 |
MVPA | p = 0.164 | p = 0.113 | p = 0.006 | p = 0.009 |
Low | 1.25 (0.99–1.57) | 1.29 (1.02–1.64) | 1.53 (1.18–2.00) | 1.47 (1.12–1.93) |
Medium | 1.15 (0.92–1.44) | 1.16(0.92–1.45) | 1.41 (1.09–1.84) | 1.45 (1.12–1.87) |
High (ref) | 1.00 | 1.00 | 1.00 | 1.00 |
IRR (incidence rate ratio), which is defined as e B, where B is the regression coefficients.
Model 1: adjusting a baseline covariates, including age, gender, educational attainment, IMD tertile, weight status, and number of self-reported chronic illnesses, and also GP Management System, and time lapse to follow-up;
Model 2: additionally adjusting for lower limb function.